Lanotte F, Shin SY, O'Brien MK, Jayaraman A. Validity and reliability of a commercial wearable sensor system for measuring spatiotemporal gait parameters in a post-stroke population: the effects of walking speed and asymmetry. Physiological measurement. 2023;44(8). DOI 10.1088/1361-6579/aceecf
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Lanotte F, Shin SY, O'Brien MK, Jayaraman A. Validity and reliability of a commercial wearable sensor system for measuring spatiotemporal gait parameters in a post-stroke population: the effects of walking speed and asymmetry. Physiological measurement. 2023;44(8). DOI 10.1088/1361-6579/aceecf Source examined: Full author-provided article text on ResearchGate; supplements not separately appraised.
Conditions: COND-STROKE Stroke
Scoped audit evidence
These are source- and component-level audit summaries as of 3 October 2026. Access and comparison scope can differ by report; none certifies every result or the underlying raw data.
Stroke gait — gait
- current access statement: Current audit access: author_provided_body. Prior claims of licensed reading are not re-certified merely from present availability.
- source access: author_provided_body
The author-provided body confirms 16 stroke participants and ten controls, foot/L 5 Opal sensors at 128 Hz, six stroke trials, and within-condition reliability. Table 2 gives stroke bias ± limits of agreement of −0.08±0.10 m/s for speed and −0.10±0.11 m for stride length.
Source locator: Author-provided article Methods pp3–5; Table1p3,Table2p6,Table4p9,Discussion pp10–14; web lines359–619,740–824
Limitations: The report correctly distinguishes within-condition from between-day reliability and group-specific spatial bias. Supplementary files were not independently examined.
Reports citing this source
- Gait assessment and prognosis after stroke · reference 48 · original reference
Update record
- 2026-10-03: Created from the supplied reports and final scoped audit. New evidence should be appended with source version, access date, exact locator and affected report links.
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